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Cloud Native Learning Paths

By | Careers | No Comments

One of the critical areas of focus, as indicated in our previous post, for us to is to continue to answer how we address the growing talent gap in the market throwing 40 years of computer science out the window.

Cloud Native transformation requires both transforming, injecting insights into Data and the exposure of such Data (actionable insights) near-realtime through massively scalable applications. These two pillars are vast and confusing, especially with added vendor marketing and agreements on definitions. How does one enter these areas from a career standpoint?

As we grow and recruit talent for our R&D and product initiatives, we realized that we spend a significant amount of time scouting and enabling talent from various backgrounds. As a byproduct of these activities, we decided to create what we called Competency Generation Platforms (to be launched soon) which bakes-in our experience as well as address a fundamental gap in training – exposure to real-world experience in a moving target to benefit both career seekers as well as employers.

While CCP (Competency Generation Platforms ) is in development, we are excited to share QuickStart Guides (Structured Learning Paths), where the core requirement is for someone to be proficient enough in a single programming language – College Students or existing Sofware professionals – to begin their journey gaining competency in Cloud Native Architectures and Technologies.

Click Resources -> Learn or Careers -> Learn from our site. Alternatively, view the PDFs below.

  1. Learning Path GPS (single programming language to Cloud Native competency ) –  PDF
  2. Learning Paths
    1. Data Engineering – PDF
    2. Data Science, Machine & Deep Learning – PDF
    3. Microservices – PDF

Links in the PDF are clickable to the respective resources.





Launching CTO Office Hours

By | Cloud Native, Services | No Comments

We are excited to launch the Winter Fireside Chat 2019 with our CTO for our customers. This is a limited time free offering to book a 45 min conversation with our CTO. Fill in this quick form and someone will contact you to schedule time. The following are some key themes from past conversations with our customers

  • Aligning with your Digital Transformation Strategy
  • Technology stack strategy and selection
  • Solution Review

Cloud Native Journey for Enterprises

By | Cloud Native, Industry | No Comments

Path to Adoption

Enterprises adopting Cloud Native technologies require two key questions to be addressed within their Digital Transformation Strategy

  1. Does the proposed web-scale architecture align well with their Enterprise and Business Architectures?
  2. Have they addressed the People variable in the People, Process, and Technology equation?

Open Source as a software factory

The proven pattern over the last decade plus has been

  1. Winning Architectures are defined by Google, Facebook and others who invest in a significant amount of R&D to generate a competitive edge for their products and services.
  2. Open Source implementations of these Architectures (managed by mature governance processes) emerge to help others leverage “the Google way” of leveraging technologies for a competitive edge in new Digital Business Models.
  3. Startups emerge to create products to address Enterprise needs through either open core closed source differentiator or pure play Open Source software delivered via support subscriptions.

Regardless of what models are available, the continuous lack of talent in the market inhibits both Startups building to deliver solutions as well as Enterprises who are finding it difficult to address the Time-to-Adoption metric.

How are we addressing the need?


Our Cloud Native Services portfolio helps an existing Enterprise execute on an already defined Digitial Transformation strategy and roadmap.

Competency generation in the market

For over four decades, we have been servicing our Clients to absorb technological waves to maximize business impact. Through our journey, we have learned that the People, Process, and Technology variables have evolved while at the same time the remaining unchanged variable is People. The generation of new technologies outpaces the availability of talent to leverage these technologies. Our mission is to scout, guide, and groom young talent in technology like how undrafted rookies are spotted, coached and enabled in professional sports.

To address the above, we are building competency creation platforms driven by technologies that close the gap between academics to day one productivity for a student seeking a junior-level job in Data Engineering, Data Science | Machine & Deep Learning (ML/DL), or Cloud-native Applications Development.

Stay tuned for future anouncements!